I need to identify the main categorical columns and find their most common values with frequencies. Let me start by examining the dataset structure. ```json { "action": "tool_call", "reasoning": "The dataset card lists several classifiers (categorical columns): Assoc (~225 distinct), Grip (~4 distinct), Playing hand (~4 distinct), Playing style (~4 distinct), Activity (~3 distinct), and Gender (~2 distinct). I'll write a single SQL query to get the top values and their frequencies for all these categorical columns efficiently.", "tool": "query_sql", "args": { "sql": "WITH assoc_top AS (SELECT 'Assoc' as column_name, Assoc as value, COUNT(*) as frequency, ROUND(100.0 * COUNT(*) / SUM(COUNT(*)) OVER (), 2) as percentage FROM raw.ittf_player_info WHERE Assoc IS NOT NULL GROUP BY Assoc ORDER BY frequency DESC LIMIT 10), gender_top AS (SELECT 'Gender' as column_name, Gender as value, COUNT(*) as frequency, ROUND(100.0 * COUNT(*) / SUM(COUNT(*)) OVER (), 2) as percentage FROM raw.ittf_player_info WHERE Gender IS NOT NULL GROUP BY Gender ORDER BY frequency DESC), activity_top AS (SELECT 'Activity' as column_name, Activity as value, COUNT(*) as frequency, ROUND(100.0 * COUNT(*) / SUM(COUNT(*)) OVER (), 2) as percentage FROM raw.ittf_player_info WHERE Activity IS NOT NULL GROUP BY Activity ORDER BY frequency DESC), playing_hand_top AS (SELECT 'Playing hand' as column_name, \"Playing hand\" as value, COUNT(*) as frequency, ROUND(100.0 * COUNT(*) / SUM(COUNT(*)) OVER (), 2) as percentage FROM raw.ittf_player_info WHERE \"Playing hand\" IS NOT NULL GROUP BY \"Playing hand\" ORDER BY frequency DESC), playing_style_top AS (SELECT 'Playing style' as column_name, \"Playing style\" as value, COUNT(*) as frequency, ROUND(100.0 * COUNT(*) / SUM(COUNT(*)) OVER (), 2) as percentage FROM raw.ittf_player_info WHERE \"Playing style\" IS NOT NULL GROUP BY \"Playing style\" ORDER BY frequency DESC), grip_top AS (SELECT 'Grip' as column_name, Grip as value, COUNT(*) as frequency, ROUND(100.0 * COUNT(*) / SUM(COUNT(*)) OVER (), 2) as percentage FROM raw.ittf_player_info WHERE Grip IS NOT NULL GROUP BY Grip ORDER BY frequency DESC) SELECT * FROM assoc_top UNION ALL SELECT * FROM gender_top UNION ALL SELECT * FROM activity_top UNION ALL SELECT * FROM playing_hand_top UNION ALL SELECT * FROM playing_style_top UNION ALL SELECT * FROM grip_top ORDER BY column_name, frequency DESC", "purpose": "Get the most common values and their frequencies for all main categorical columns (Assoc, Gender, Activity, Playing hand, Playing style, Grip)", "source": "raw" } } ```